code: def test_forward_with_integrated_positionial_embedding_raise_exception(
      self,
  ):
      shape = [2, 4, 4]
      ray_bundle = ImplicitronRayBundle(
          origins=torch.randn(*shape, 3),
          directions=torch.randn(*shape, 3),
          bins=None,
          lengths=torch.randn(*shape, 6),
          pixel_radii_2d=torch.randn(*shape, 1),
          xys=None,
      )
      model = NeuralRadianceFieldImplicitFunction(
          n_hidden_neurons_dir=32,
          use_integrated_positional_encoding=True,
      )
      with self.assertRaises(ValueError):
          _ = model(ray_bundle=ray_bundle)
  
file_path: pytorch3d/tests/implicitron/test_implicit_function_neural_radiance_field.py
imports: import unittest
  import torch
  from pytorch3d.implicitron.models.implicit_function.base import ImplicitronRayBundle
  from pytorch3d.implicitron.models.implicit_function.neural_radiance_field import NeuralRadianceFieldImplicitFunction
label_desc: Use image node_id 3 for calling the TestNeuralRadianceFieldImplicitFunction obj's underlying member method code with example usage: obj.test_forward_with_integrated_positionial_embedding_raise_exception() without return types